Dashbird vs Vector: What are the differences?
Dashbird: Monitoring and troubleshooting for serverless applications. Dashbird gives full visibility into serverless architectures. Failure detection, monitoring and debugging capabilities for AWS Lambda and event sources. Get up and running in 5 minutes without any performance overhead or code changes; Vector: On-host performance monitoring framework which exposes hand picked high resolution metrics to every engineer’s browser, by Netflix. Vector provides a simple way for users to visualize and analyze system and application-level metrics in near real-time. It leverages the battle tested open source system monitoring framework, Performance Co-Pilot (PCP), layering on top a flexible and user-friendly UI. The UI polls metrics at up to 1 second resolution, rendering the data in completely configurable dashboards that simplify cross-metric correlation and analysis.
Dashbird and Vector can be primarily classified as "Performance Monitoring" tools.
Vector is an open source tool with 3.17K GitHub stars and 230 GitHub forks. Here's a link to Vector's open source repository on GitHub.